2009년 춘계 학술대회
Current Result Document : 25 / 25
| 한글제목(Korean Title) |
2D 지역푸리에변환 기반 텍스쳐 특징 서술자에 관한 연구 |
| 영문제목(English Title) |
Texture Feature Extractor Based on 2D Local Fourier Transform |
| 저자(Author) |
뮤잠멜
팽소호
김현수
김덕환
Khairul Muzzammil Saipullah
Shao-Hu Peng
Hyun-Soo Kim
Deok-Hwan Kim
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| 원문수록처(Citation) |
VOL 16 NO. 01 PP. 0106 ~ 0109 (2009. 04) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Recently, image matching becomes important in Computer Aided Diagnosis (CAD) due to the huge amount of medical images. Specially, texture feature is useful in medical image matching. However, texture features such as co-occurrence matrices can't describe well the spatial distribution of gray levels of the neighborhood pixels. In this paper we propose a frequency domain-based texture feature extractor that describes the local spatial distribution for medical image retrieval. This method is based on 2D Local Discrete Fourier transform of local images. The features are extracted from local Fourier histograms that generated by four Fourier images. Experimental results using 40 classes Brodatz textures and 1 class of Emphysema CT images show that the average accuracy of retrieval is about 93%. |
| 키워드(Keyword) |
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| 파일첨부 |
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